Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...
Abstract: In the field of remote sensing image processing, remote sensing image object detection is a crucial undertaking. However, the existing object detection algorithms have a considerable number ...
Abstract: Remote sensing (RS) image processing and analysis face significant challenges due to varying object scales and complex backgrounds. Existing detection algorithms often suffer from high ...
ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...
Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel solution is based on a low power ...
ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...
Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...
Experts have confirmed that the mysterious object hurtling towards us, previously dubbed A11pl3Z, is an "interstellar object." The cosmic interloper, officially named 3I/ATLAS, is only the third of ...
Traditional manual detection of rural road surface distress is time-consuming and labor-intensive. In this paper, we propose a Mask R-CNN algorithm specifically designed for detecting rural road ...
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